I am making what I think could be a really nice and cool project, and chose Zig for it because I know it is the best language out there for making high quality software.

It will be a calendar app, think of Superhuman email app, but for calendar. 100% focused on speed and fast navigation.

You can watch a short video of the current state of it here: https://x.com/mariodev__/status/2007028805173698739

And here you have the repo: https://github.com/Mario-SO/cronos

Hope you like it

PS: A star in Github is super highly appreciated this will tell me that i am on the right track.

Some minor things I found was:

- Not able to close the app or move it on Osx, due to the hidden decorations

- Resize the windows makes it possible to get cells of zero size, while the text does not change size

- shortcuts are hardcoded ine view_events and in shortcuts

- the ignore next event logic with the hardcoded a A in the add_event

But all in all a nice little app, really loved it.

I'm a hobbyist developer who's been tinkering with financial data analysis in my spare time, and I thought I'd share a small project I've been working on: OHLCV, a library written in Zig for handling OHLCV (Open, High, Low, Close, Volume) time series data. I did publish this project some time ago, it got some nice people to star it, but I've taken some time lately to make some changes, I recently acquired claude code and it has been super helpful for the refactoring I had in mind plus some other features.

Nothing revolutionary here, it's basically a collection of tools for parsing CSV data, managing time series, and calculating common technical indicators like SMA, EMA, and RSI. It supports different data sources (file, HTTP, in-memory) and has some basic tests to keep things reliable.

If you're into Zig, quantitative finance, or just curious about efficient data handling in a systems language, I'd love if you could take a quick look at the repo: https://github.com/Mario-SO/ohlcv

I'm no expert, so any feedback, suggestions, or even bug reports would be super helpful, especially on ways to make it more efficient or add useful features. It's open-source under [MIT], so feel free to fork, contribute, or just poke around.

Thanks for checking it out!

https://github.com/zerotech-studio/zack

For this type of data I'm all zero trust.